motorola motorola edge 50s pro
Geekbench AI Score
239
Single Precision Score
239
Half Precision Score
576
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Kira01flz |
| Upload Date | April 20 2025 07:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge 50s pro |
| Model ID | motorola motorola edge 50s pro |
| Motherboard | eqe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.3 IPS |
|
|
Image Classification (Q)
|
99% |
377
70.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
411
6.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
255
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
256
0.30 IPS |
|
|
Pose Estimation (Q)
|
98% |
982
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
87% |
411
32.9 IPS |
|
|
Face Detection (SP)
|
100% |
371
4.40 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (Q)
|
97% |
853
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
313
2.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
315
2.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
785
7.12 IPS |
|
|
Style Transfer (SP)
|
100% |
538
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
542
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1637
2.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
154
5.67 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
570
21.1 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.2 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.1 IPS |
|
|
Text Classification (Q)
|
91% |
354
475.9 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (Q)
|
57% |
292
7.13 IPS |
